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Supply chain risk transmission monitoring based on graphic evaluation and review technique.
Heliyon
January 2025
Supply Chain Management, The York Management School, University of York, YO10 5DD, UK.
In the supply chain context, risk events can accumulate, amplify, and mutate as they spread through the supply chain network structure. This can lead to significant losses for supply chains and global businesses. Therefore, monitoring supply chain risk is crucial to ensure the smooth operation of the supply chain.
View Article and Find Full Text PDFKnowledge-data driven sampling diagnosis algorithm for lithium batteries on electric vehicles.
ISA Trans
December 2024
GEELY Automobile Research Institute Co. Ltd, Ningbo, Zhejiang 315699, China. Electronic address:
The voltage is one of limited reliable information for battery management system, and the faults of voltage sampling will result in adverse effects and lead to potential risks for operation, which emphasize the importance for investigating the failure modes of voltage sampling and diagnosis algorithm. In this article, a knowledge-data driven sampling diagnosis algorithm is established and an online intelligent diagnosis algorithm is proposed accordingly based on outlier detection with fuzzy entropy. The fault diagnosis algorithm is established and evaluated under positive exploitation, where the knowledge-base of failure mode based on equivalent simulating models is firstly constructed.
View Article and Find Full Text PDFA hybrid critical channels and optimal feature subset selection framework for EEG fatigue recognition.
Sci Rep
January 2025
College of Smart City and Transportation, Southwest Jiaotong University, Chengdu, Sichuan, China.
Fatigue driving is one of the potential factors threatening road safety, and monitoring drivers' mental state through electroencephalography (EEG) can effectively prevent such risks. In this paper, a new model, DE-GFRJMCMC, is proposed for selecting critical channels and optimal feature subsets from EEG data to improve the accuracy of fatigue driving recognition. The model is validated on the SEED-VIG dataset.
View Article and Find Full Text PDFThe potential association between sedentary behaviors and risk of temporomandibular disorders: evidence from Mendelian randomization analysis.
J Oral Facial Pain Headache
December 2024
Stomatology Center, China Japan Friendship Hospital, 100029 Beijing, China.
The role of sedentary behaviors in temporomandibular disorders (TMD) has not been thoroughly investigated. This study aims to investigate the potential association between sedentary behaviors and TMD using Mendelian randomization (MR) analysis. The MR method was employed to assess the causal association between sedentary behaviors and the risk of TMD.
View Article and Find Full Text PDFAnalysis of Tool Wear in Finish Turning of Titanium Alloy Ti-6Al-4V Under Minimum Quantity Lubrication Conditions Observed with Recurrence Quantification Analysis.
Materials (Basel)
December 2024
Institute of Mechanical Technology, Poznan University of Technology, 3 Piotrowo Street, 60-965 Poznan, Poland.
Titanium alloys, particularly Ti-6Al-4V, are widely used in many industries due to their high strength, low density, and corrosion resistance. However, machining these materials is challenging due to high strength at elevated temperatures, low thermal conductivity, and high chemical reactivity. This study investigates Recurrence Plot (RP) and Recurrence Quantification Analysis (RQA) to analyze tool wear during the finish turning of Ti-6Al-4V.
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